If you want to add more product images to your CSV file, you can upload it to your Shopify admin page. Because we are learning the way to add products to the store with a CSV file, there will have some things that you might need to understand.
Firstly, Shopify recommends that shop owners should view and edit their formatted CSV files on Google Sheets.
Secondly, a CSV file cannot contain anything but text, so if you want to add images, you will use the URLs link of those images. And the best way to get the link is to upload that image to Shopify, and the URLs will be generated automatically.
So I will share with you the steps to help you in the adding multiple images process.
To be able to add multiple images to your CSV file you will need to go through the process which includes three steps:
You need to import and open your CSV file with
Choose the product which you want to add images in this file. For example, I choose
Dress to add pictures. And I want to add three more images.
row number 5, 6, and 7. Afterward, click the
right mouse button and you will see a
drop-down list. Chose
Insert 3 rows to add 3 new rows under the fourth line.
You will need to copy the
“Handle” of the
Paste it to the
“Handle” column of
3 new rows you have just added.
You will need to
upload your images to Shopify. I have just shared about this above.
Then, you need to find and select the files section.
Next, click on the
Upload files button to select the images which you want to add in your desktop
URLswill appear in the URL column.
After that, you will need to copy the
link in the
URL column. You can only copy one link at a time.
Drag the horizontal bar to the right, and you will see the
Image Src column. Once you see that column, paste the
URL link you have copied to each line.
After you have finished all the stages above, you need to save the file and then import it to Shopify.
Above is a step-by-step tutorial on how to add multiple product images in a CSV file on Shopify. I hope that this instruction could make it easier for you to use the CSV files.